Solutions
Find your Ward solution
Explore retail AI analytics by vertical, insight type, integration, and role. Every combination delivers tailored insight cards for your specific operation.
app.getward.ai
Live demo
Acme Retail
@Merchandising: VP Analyst
claude-sonnet default
A
Chat
Ask anything. Ward routes to the right agent and returns cited answers.
Why did Store 37 miss target last week?
Schema Scout · routed to Merchandising Agent
I pulled Store 37’s last 28 days against the chain baseline. Two root causes, both compounding.
| Signal | Finding |
|---|---|
labor_efficiency | Rev/labor-hour −22% vs. cluster, staffing mismatch at 11a–1p peak |
inventory.fresh | Fresh fill 83%, backroom replenishment lag at 2–4p |
promo.lift | BOGO crackers cannibalized Brand Y by 28%, net category +6% |
Recommend: re-baseline Store 37 schedule against true peak, raise replen window to 1p, and review the BOGO before next cycle.
8 parallel queries
3 sources cited
confidence 0.92
Show me how to fix the staffing mismatch.
Labor Agent · drafting schedule diff
Querying
labor_scheduling…
›
Ask anything, Ward routes to the right agent.
Cmd+K
Reporting
Pinned views built from saved data-lake queries. Every number re-derivable from its SQL.
7d13w52w
Revenue vs. forecast
$48.2M
+4.2% WoW
Gross margin %
24.1%
−3.2pp
Fill rate, fresh
83.4%
−4.1pp
Shrink, West region
2.41%
+0.8pp
Revenue vs. forecast
13 weeks actual, 6 weeks forecast, 80% interval
Actual
Forecast
80% interval
Holt-Winters + weather regressor
MAPE 4.1% at 4wk
Backtested 24 months
Crosses plan in 3 weeks
Forecast error by horizon
MAPE, 24-month backtest
Accuracy bar for promo decisions: ≤5% at 4wk
Models in production
Every forecast ships a model card
| Model | Horizon | MAPE |
|---|---|---|
holt_winters | 4wk | 4.1% |
arima_sarimax | 13wk | 8.9% |
gbm_demand | 1wk | 2.1% |
bayes_hier | new store | 11.4% |
Sources
Connect external systems to the data lake.
Search sources…
| Name | Type | Last sync |
|---|---|---|
sap_pos_transactions | import | 2m ago |
sap_inventory_shrinkage | import | 2m ago |
sap_labor_scheduling | import | 14m ago |
retail_inventory_weekly | import | 1h ago |
retail_google_ads_daily | import | 1h ago |
retail_meta_ads_daily | import | 1h ago |
retail_ga4_website_daily | import | 1h ago |
Policies
Browse and manage Cedar access policies for your tenant.
TLS 1.3
AES-256
Read-only
SOC 2 II
| Policy ID | Effect | Resources |
|---|---|---|
merch-read-default | permit | Model::* |
finance-read-shrinkage | permit | Model::"inventory_shrinkage" |
vendor-blocked | forbid | Model::"labor_*" |
region-west-only | permit | Tenant::"acme" |
Live product demo against a real retail data lake.
01
By verticalRetail verticals
Grocery
Grocery & Supermarket
30,000+ SKUs · 30K+ SKUs per store
Fashion
Fashion & Apparel
15,000+ SKUs · 15K+ SKUs per location
Convenience
Convenience & C-Store
3,000+ SKUs · 24/7 daypart monitoring
Pharmacy
Pharmacy & Health
20,000+ SKUs · 48hr illness demand lead time
Home
Home Improvement
50,000+ SKUs · 50K+ SKUs optimized
Furniture
Furniture Manufacturing & Retail
10,000+ SKUs · 3–5 disconnected systems unified
Specialty
Specialty Retail
5,000+ SKUs · 5K+ SKUs per boutique
02
By insightInsight card types
Stockout
Stockout Prediction
Know before the shelf empties.
Shrinkage
Shrinkage Detection
Find the leak before it drains you.
Pricing
Price Optimization
Price on elasticity you can measure.
Demand
Demand Forecasting
See demand before it arrives.
Assortment
Assortment Planning
Stock what sells. Cut what doesn't.
Promos
Promo Effectiveness
Know which promos actually work.
Customer
Customer Behavior
Understand the person behind the basket.
Fill Rate
Fill Rate Monitoring
Every empty shelf is a lost sale.
03
By integrationIntegrations
S
SAP Retail
ERP
O
Oracle Retail
ERP
S
Shopify / Shopify Plus
Commerce
N
Oracle NetSuite
ERP
S
Snowflake
Data Platform
B
Google BigQuery
Data Platform
B
Blue Yonder
Supply Chain
R
RELEX Solutions
Supply Chain
L
Looker / Looker Studio
BI
P
Microsoft Power BI
BI
T
Tableau
BI
N
NCR Voyix
POS
B
BigCommerce
Commerce
L
Lightspeed Retail
POS
E
Epicor
ERP
04
By roleBuilt for your team
VP / Director
VP / Director of Merchandising
Merchandising
VP / Director
VP / Director of Supply Chain
Supply Chain
Director
Director of Store Operations
Store Operations
Director / Head
Head of Loss Prevention
Loss Prevention
Director / Head
Head of E-Commerce / Digital
E-Commerce
C-Suite / VP
CFO / VP Finance
Finance
Director / VP
Head of Procurement
Procurement
Director / VP
Head of IT / VP Technology
Technology
05
Popular combinationsMost searched solutions
06
Every combinationAll solutions by vertical
Each vertical, paired with each insight Ward runs against it.
御社のデータに何が隠れているか、確認する。
お客様のオペレーションについてお聞かせください。デモまたはPoCをご提案します。